Tinnitus Biomarkers: Facial & Eye Signs of Severity
Groundbreaking research unveils objective biomarkers for tinnitus, linking pupil dilation adn facial movements to the severity of this condition. This discovery,published in Science Translational Medicine,could revolutionize tinnitus treatment studies,moving beyond subjective questionnaires. Researchers used AI to analyze subtle facial expressions, revealing how they correlate with distress levels.These findings offer a new way to measure tinnitus severity, potentially differentiating between varying experiences more accurately. This innovative approach highlights the role of the sympathetic nervous system in tinnitus. News directory 3 is proud to present this pivotal research. Discover the future of tinnitus treatment, as scientists develop new therapies leveraging these key biomarkers. Discover what’s next …
Facial Movements, Pupil Dilation Reveal New Tinnitus Biomarkers
Updated June 17, 2025
Boston — Researchers at Mass General Brigham have pinpointed objective biomarkers for tinnitus, the often-debilitating condition characterized by phantom noises. The team’s work, published in Science Translational Medicine, links pupil dilation and subtle facial movements to the severity of tinnitus distress. This revelation could pave the way for more effective treatment studies for tinnitus.
Currently,assessing tinnitus severity relies heavily on subjective questionnaires. daniel Polley, PhD, vice chair for basic science research at Mass Eye and Ear, likened this to determining cancer severity through patient surveys. His team’s breakthrough offers a direct, observable measure of tinnitus severity.
Tinnitus, affecting roughly 12% of the population, manifests as persistent ringing, buzzing, or clicking sounds. While many adapt, about 15% experience severe disruptions to sleep, mental health, and daily life. The new biomarkers provide a means to differentiate these varying experiences objectively.
The research team focused on the sympathetic nervous system, seeking involuntary signs of distress. They monitored pupil dilation, indicative of arousal, and facial movements, reflecting threat assessment.
The study involved 97 participants, including 47 with varying degrees of tinnitus and sound sensitivity, and 50 healthy controls. participants were recorded while listening to pleasant, neutral, and unpleasant sounds. Artificial intelligence (AI) software analyzed subtle facial twitches in the cheeks, eyebrows, and nostrils, correlating them with reported tinnitus distress. Combining this data with pupil dilation measurements enhanced the predictive accuracy.
Individuals with severe tinnitus exhibited wide pupil dilation in response to all sounds, coupled with blunted facial movements. Conversely, those without tinnitus or with milder symptoms showed exaggerated pupil dilation and facial movements only to unpleasant sounds. The biomarkers also predicted hyperacusis severity, or reduced sound tolerance, though with less precision.
“What’s really exciting is this vantage point into tinnitus severity didn’t require highly specialized brain scanners; rather,the approach was relatively low-tech.,” said Polley, who also is also director of Mass Eye and Ear’s Lauer Tinnitus Research Center. “If we can adapt this approach to consumer-grade electronics, they could be put to use in hearing health clinics, as objective measures in clinical trials and by the public at large.”
A limitation of the study was the exclusion of participants with co-occurring conditions like hearing loss or mental health issues, common in severe tinnitus cases. Future research will address this.
What’s next
Polley’s lab is now leveraging these tinnitus biomarkers to develop novel therapies, combining neural stimulation with immersive software to reduce the perceived loudness of phantom sounds. These biomarkers target the root of the distress, revealing body-wide threat evaluation systems operating outside their normal range, according to Polley.